{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load the import file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%run common_import.ipynb"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Overview"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 891 entries, 0 to 890\n",
      "Data columns (total 12 columns):\n",
      "PassengerId    891 non-null int64\n",
      "Survived       891 non-null int64\n",
      "Pclass         891 non-null int64\n",
      "Name           891 non-null object\n",
      "Sex            891 non-null object\n",
      "Age            714 non-null float64\n",
      "SibSp          891 non-null int64\n",
      "Parch          891 non-null int64\n",
      "Ticket         891 non-null object\n",
      "Fare           891 non-null float64\n",
      "Cabin          204 non-null object\n",
      "Embarked       889 non-null object\n",
      "dtypes: float64(2), int64(5), object(5)\n",
      "memory usage: 83.6+ KB\n"
     ]
    }
   ],
   "source": [
    "train = pd.read_csv('train.csv',header=0)\n",
    "train.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PassengerId</th>\n",
       "      <th>Survived</th>\n",
       "      <th>Pclass</th>\n",
       "      <th>Age</th>\n",
       "      <th>SibSp</th>\n",
       "      <th>Parch</th>\n",
       "      <th>Fare</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>891.000000</td>\n",
       "      <td>891.000000</td>\n",
       "      <td>891.000000</td>\n",
       "      <td>714.000000</td>\n",
       "      <td>891.000000</td>\n",
       "      <td>891.000000</td>\n",
       "      <td>891.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>446.000000</td>\n",
       "      <td>0.383838</td>\n",
       "      <td>2.308642</td>\n",
       "      <td>29.699118</td>\n",
       "      <td>0.523008</td>\n",
       "      <td>0.381594</td>\n",
       "      <td>32.204208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>257.353842</td>\n",
       "      <td>0.486592</td>\n",
       "      <td>0.836071</td>\n",
       "      <td>14.526497</td>\n",
       "      <td>1.102743</td>\n",
       "      <td>0.806057</td>\n",
       "      <td>49.693429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.420000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>223.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>20.125000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>7.910400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>446.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>14.454200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>668.500000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>38.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>31.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>891.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>80.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>512.329200</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       PassengerId    Survived      Pclass         Age       SibSp  \\\n",
       "count   891.000000  891.000000  891.000000  714.000000  891.000000   \n",
       "mean    446.000000    0.383838    2.308642   29.699118    0.523008   \n",
       "std     257.353842    0.486592    0.836071   14.526497    1.102743   \n",
       "min       1.000000    0.000000    1.000000    0.420000    0.000000   \n",
       "25%     223.500000    0.000000    2.000000   20.125000    0.000000   \n",
       "50%     446.000000    0.000000    3.000000   28.000000    0.000000   \n",
       "75%     668.500000    1.000000    3.000000   38.000000    1.000000   \n",
       "max     891.000000    1.000000    3.000000   80.000000    8.000000   \n",
       "\n",
       "            Parch        Fare  \n",
       "count  891.000000  891.000000  \n",
       "mean     0.381594   32.204208  \n",
       "std      0.806057   49.693429  \n",
       "min      0.000000    0.000000  \n",
       "25%      0.000000    7.910400  \n",
       "50%      0.000000   14.454200  \n",
       "75%      0.000000   31.000000  \n",
       "max      6.000000  512.329200  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PassengerId</th>\n",
       "      <th>Survived</th>\n",
       "      <th>Pclass</th>\n",
       "      <th>Name</th>\n",
       "      <th>Sex</th>\n",
       "      <th>Age</th>\n",
       "      <th>SibSp</th>\n",
       "      <th>Parch</th>\n",
       "      <th>Ticket</th>\n",
       "      <th>Fare</th>\n",
       "      <th>Cabin</th>\n",
       "      <th>Embarked</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Braund, Mr. Owen Harris</td>\n",
       "      <td>male</td>\n",
       "      <td>22.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>A/5 21171</td>\n",
       "      <td>7.2500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n",
       "      <td>female</td>\n",
       "      <td>38.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17599</td>\n",
       "      <td>71.2833</td>\n",
       "      <td>C85</td>\n",
       "      <td>C</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>Heikkinen, Miss. Laina</td>\n",
       "      <td>female</td>\n",
       "      <td>26.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>STON/O2. 3101282</td>\n",
       "      <td>7.9250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   PassengerId  Survived  Pclass  \\\n",
       "0            1         0       3   \n",
       "1            2         1       1   \n",
       "2            3         1       3   \n",
       "\n",
       "                                                Name     Sex   Age  SibSp  \\\n",
       "0                            Braund, Mr. Owen Harris    male  22.0      1   \n",
       "1  Cumings, Mrs. John Bradley (Florence Briggs Th...  female  38.0      1   \n",
       "2                             Heikkinen, Miss. Laina  female  26.0      0   \n",
       "\n",
       "   Parch            Ticket     Fare Cabin Embarked  \n",
       "0      0         A/5 21171   7.2500   NaN        S  \n",
       "1      0          PC 17599  71.2833   C85        C  \n",
       "2      0  STON/O2. 3101282   7.9250   NaN        S  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.head(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Exploration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'train feature corr')"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f6773ee10b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(context=\"paper\", font=\"monospace\")\n",
    "sns.set(style=\"white\")\n",
    "f, ax = plt.subplots(figsize=(10,6))\n",
    "train_corr = train.drop('PassengerId',axis=1).corr()\n",
    "sns.heatmap(train_corr, ax=ax, vmax=.9, square=True)\n",
    "ax.set_xticklabels(train_corr.index, size=15)\n",
    "ax.set_yticklabels(train_corr.columns[::-1], size=15)\n",
    "ax.set_title('train feature corr', fontsize=20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f6771df4c88>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f6771e904a8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from scipy import stats\n",
    "fig, axes = plt.subplots(2,1,figsize=(8,6))\n",
    "sns.set_style('white')\n",
    "sns.distplot(train.Age.fillna(-20), rug=True, color='b', ax=axes[0])\n",
    "ax0 = axes[0]\n",
    "ax0.set_title('age distribution')\n",
    "ax0.set_xlabel('')\n",
    "\n",
    "ax1 = axes[1]\n",
    "ax1.set_title('age survived distribution')\n",
    "k1 = sns.distplot(train[train.Survived==0].Age.fillna(-20), hist=False, color='r', ax=ax1, label='dead')\n",
    "k2 = sns.distplot(train[train.Survived==1].Age.fillna(-20), hist=False, color='g', ax=ax1, label='alive')\n",
    "ax1.set_xlabel('')\n",
    "\n",
    "ax1.legend(fontsize=16)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f6770eacf60>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f6770fc74e0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f6770f46048>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, ax = plt.subplots(figsize=(8,3))\n",
    "ax.set_title('Sex Age dist', size=20)\n",
    "sns.distplot(train[train.Sex=='female'].dropna().Age, hist=False, color='pink', label='female')\n",
    "sns.distplot(train[train.Sex=='male'].dropna().Age, hist=False, color='blue', label='male')\n",
    "ax.legend(fontsize=15)\n",
    "f, ax = plt.subplots(figsize=(8,3))\n",
    "ax.set_title('Pclass Age dist', size=20)\n",
    "sns.distplot(train[train.Pclass==1].dropna().Age, hist=False, color='pink', label='P1')\n",
    "sns.distplot(train[train.Pclass==2].dropna().Age, hist=False, color='blue', label='p2')\n",
    "sns.distplot(train[train.Pclass==3].dropna().Age, hist=False, color='g', label='p3')\n",
    "ax.legend(fontsize=15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'Pclass Survived count')"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f6771ec3518>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "y_dead = train[train.Survived==0].groupby('Pclass')['Survived'].count()\n",
    "y_alive = train[train.Survived==1].groupby('Pclass')['Survived'].count()\n",
    "pos = [1, 2, 3]\n",
    "ax = plt.figure(figsize=(8,4)).add_subplot(111)\n",
    "ax.bar(pos, y_dead, color='r', alpha=0.6, label='dead')\n",
    "ax.bar(pos, y_alive, color='g', bottom=y_dead, alpha=0.6, label='alive')\n",
    "ax.legend(fontsize=16, loc='best')\n",
    "ax.set_xticks(pos)\n",
    "ax.set_xticklabels(['Pclass%d'%(i) for i in range(1,4)], size=15)\n",
    "ax.set_title('Pclass Survived count', size=20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "male      577\n",
      "female    314\n",
      "Name: Sex, dtype: int64\n",
      "********************************\n",
      "Sex\n",
      "female    0.742038\n",
      "male      0.188908\n",
      "Name: Survived, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "print(train.Sex.value_counts())\n",
    "print('********************************')\n",
    "print (train.groupby('Sex')['Survived'].mean())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f6770c7d470>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f6770cc4b00>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = plt.figure(figsize=(10,4)).add_subplot(111)\n",
    "sns.violinplot(x='Sex', y='Age', hue='Survived', data=train.dropna(), split=True)\n",
    "ax.set_xlabel('Sex',size=20)\n",
    "ax.set_xticklabels(['Female','male'], size=18)\n",
    "ax.set_ylabel('Age',size=20)\n",
    "ax.legend(fontsize=25,loc='best')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f6770bdfb38>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f6770c227b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "label = []\n",
    "for sex_i in ['female','male']:\n",
    "    for pclass_i in range(1,4):\n",
    "        label.append('sex:%s,Pclass:%d'%(sex_i, pclass_i))\n",
    "        \n",
    "pos = range(6)\n",
    "fig = plt.figure(figsize=(16,4))\n",
    "ax = fig.add_subplot(111)\n",
    "ax.bar(pos, \n",
    "        train[train['Survived']==0].groupby(['Sex','Pclass'])['Survived'].count().values, \n",
    "        color='r', \n",
    "        alpha=0.5, \n",
    "        align='center',\n",
    "        tick_label=label, \n",
    "        label='dead')\n",
    "ax.bar(pos, \n",
    "        train[train['Survived']==1].groupby(['Sex','Pclass'])['Survived'].count().values, \n",
    "        bottom=train[train['Survived']==0].groupby(['Sex','Pclass'])['Survived'].count().values,\n",
    "        color='g',\n",
    "        alpha=0.5,\n",
    "        align='center',\n",
    "        tick_label=label, \n",
    "        label='alive')\n",
    "ax.tick_params(labelsize=15)\n",
    "ax.set_title('sex_pclass_survived', size=30)\n",
    "ax.legend(fontsize=15,loc='best')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f6770bad160>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f6770c3aa20>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(8, 6))\n",
    "ax = plt.subplot2grid((2,2), (0,0), colspan=2)\n",
    "\n",
    "ax.tick_params(labelsize=15)\n",
    "ax.set_title('Fare dist', size=20)\n",
    "ax.set_ylabel('dist', size=20)\n",
    "sns.kdeplot(train.Fare, ax=ax)\n",
    "sns.distplot(train.Fare, ax=ax)\n",
    "ax.legend(fontsize=15)\n",
    "pos = range(0,400,50)\n",
    "ax.set_xticks(pos)\n",
    "ax.set_xlim([0, 200])\n",
    "ax.set_xlabel('')\n",
    "\n",
    "ax1 = plt.subplot2grid((2,2), (1,0), colspan=2)\n",
    "ax.set_title('Fare Pclass dist', size=20)\n",
    "for i in range(1,4):\n",
    "    sns.kdeplot(train[train.Pclass==i].Fare, ax=ax1, label='Pclass %d'%(i))\n",
    "ax1.set_xlim([0,200])\n",
    "ax1.legend(fontsize=15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,0,'Fare')"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f6770cc48d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(8,3))\n",
    "ax1 = fig.add_subplot(111)\n",
    "sns.kdeplot(train[train.Survived==0].Fare, ax=ax1, label='dead', color='r')\n",
    "sns.kdeplot(train[train.Survived==1].Fare, ax=ax1, label='alive', color='g')\n",
    "#sns.distplot(train[train.Survived==0].Fare, ax=ax1, color='r')\n",
    "#sns.distplot(train[train.Survived==1].Fare, ax=ax1, color='g')\n",
    "ax1.set_xlim([0,300])\n",
    "ax1.legend(fontsize=15)\n",
    "ax1.set_title('Fare survived', size=20)\n",
    "ax1.set_xlabel('Fare', size=15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
